Strategic Computing : DARPA and the Quest for Machine Intelligence, 1983–1993 / Alex Roland with Philip Shiman
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Massive Retaliation Charles Wilson, Neil Mcelroy, and Thomas Gates 1953-1961
Evolution of the Secretary of Defense in the Era of MassiveSEPTEMBER Retaliation 2012 Evolution of the Secretary OF Defense IN THE ERA OF Massive Retaliation Charles Wilson, Neil McElroy, and Thomas Gates 1953-1961 Special Study 3 Historical Office Office of the Secretary of Defense Cold War Foreign Policy Series • Special Study 3 Evolution of the Secretary of Defense in the Era of Massive Retaliation Evolution of the Secretary of Defense in the Era of Massive Retaliation Charles Wilson, Neil McElroy, and Thomas Gates 1953-1961 Cover Photos: Charles Wilson, Neil McElroy, Thomas Gates, Jr. Source: Official DoD Photo Library, used with permission. Cover Design: OSD Graphics, Pentagon. Cold War Foreign Policy Series • Special Study 3 Evolution of the Secretary of Defense in the Era of Massive Retaliation Evolution of the Secretary OF Defense IN THE ERA OF Massive Retaliation Charles Wilson, Neil McElroy, and Thomas Gates 1953-1961 Special Study 3 Series Editors Erin R. Mahan, Ph.D. Chief Historian, Office of the Secretary of Defense Jeffrey A. Larsen, Ph.D. President, Larsen Consulting Group Historical Office Office of the Secretary of Defense September 2012 ii iii Cold War Foreign Policy Series • Special Study 3 Evolution of the Secretary of Defense in the Era of Massive Retaliation Contents Opinions, conclusions, and recommendations expressed or implied within are solely those of the authors and do not necessarily represent the views of the Department of Defense, the Historical Office of the Office of Foreword..........................................vii the Secretary of Defense, Larsen Consulting Group, or any other agency of the Federal Government. Executive Summary...................................ix Cleared for public release; distribution unlimited. -
Stanley: the Robot That Won the DARPA Grand Challenge
STANLEY Winning the DARPA Grand Challenge with an AI Robot_ Michael Montemerlo, Sebastian Thrun, Hendrik Dahlkamp, David Stavens Stanford AI Lab, Stanford University 353 Serra Mall Stanford, CA 94305-9010 fmmde,thrun,dahlkamp,[email protected] Sven Strohband Volkswagen of America, Inc. Electronics Research Laboratory 4009 Miranda Avenue, Suite 150 Palo Alto, California 94304 [email protected] http://www.cs.stanford.edu/people/dstavens/aaai06/montemerlo_etal_aaai06.pdf Stanley: The Robot that Won the DARPA Grand Challenge Sebastian Thrun, Mike Montemerlo, Hendrik Dahlkamp, David Stavens, Andrei Aron, James Diebel, Philip Fong, John Gale, Morgan Halpenny, Gabriel Hoffmann, Kenny Lau, Celia Oakley, Mark Palatucci, Vaughan Pratt, and Pascal Stang Stanford Artificial Intelligence Laboratory Stanford University Stanford, California 94305 http://robots.stanford.edu/papers/thrun.stanley05.pdf DARPA Grand Challenge: Final Part 1 Stanley from Stanford 10.54 https://www.youtube.com/watch?v=M2AcMnfzpNg Sebastian Thrun helped build Google's amazing driverless car, powered by a very personal quest to save lives and reduce traffic accidents. 4 minutes https://www.ted.com/talks/sebastian_thrun_google_s_driverless_car THE GREAT ROBOT RACE – documentary Published on Jan 21, 2016 DARPA Grand Challenge—a raucous race for robotic, driverless vehicles sponsored by the Pentagon, which awards a $2 million purse to the winning team. Armed with artificial intelligence, laser-guided vision, GPS navigation, and 3-D mapping systems, the contenders are some of the world's most advanced robots. Yet even their formidable technology and mechanical prowess may not be enough to overcome the grueling 130-mile course through Nevada's desert terrain. From concept to construction to the final competition, "The Great Robot Race" delivers the absorbing inside story of clever engineers and their unyielding drive to create a champion, capturing the only aerial footage that exists of the Grand Challenge. -
Pdf and SANS '99 ( Are Worth a Read
motd by Rob Kolstad Dr. Rob Kolstad has long served as editor of ;login:. He is also head coach of the USENIX- sponsored USA Computing Olympiad. <[email protected]> Needs In the late 1960s, when the psychological world embraced behaviorism and psychoanalysis as its twin grails, Abraham Maslow proposed a hierarchy of needs. This hierarchy was brought to mind because I am hosting the Polish computing champion for a short visit, and he often asks questions of the sort, "Why would anyone need such a large car?" Maslow listed, in order: • Physiological needs, including air, food, water, warmth, shelter, etc. Lack of these things can cause death. • Safety needs, for coping with emergencies, chaos (e.g., rioting), and other periods of disorganization. • Needs for giving and receiving love, affection, and belonging, as well as the ability to escape loneliness/alienation. • Esteem needs, centering on a stable, high level of self-respect and respect from others, in order to gain satisfaction and self-confidence. Lack of esteem causes feelings of inferiority, weakness, helplessness, and worthlessness. "Self-actualization" needs were the big gun of the thesis. They exemplified the behavior of non-selfish adults and are, regrettably, beyond the scope of this short article. As I think about the context of "needs" vs. "wants" or "desires" in our culture, economy, and particularly among the group of readers of this publication, it seems that we're doing quite well for the easy needs (physiological needs and safety). I know many of my acquaintances (and myself!) are doing just super in their quest for better gadgetry, toys, and "stuff" ("whoever dies with the most toys wins"). -
Mapping Planetary Caves with an Autonomous, Heterogeneous Robot Team
Mapping Planetary Caves with an Autonomous, Heterogeneous Robot Team Ammar Husain Heather Jones Balajee Kannan Robotics Institute Robotics Institute GE Global Research Carnegie Mellon University Carnegie Mellon University Schenectady, NY 12309 Pittsburgh, PA 15213 Pittsburgh, PA 15213 [email protected] [email protected] [email protected] Uland Wong Tiago Pimentel Martins da Silva Sarah Tang Robotics Institute Mechatronics Engineering Dept. Mechanical and Aerospace Eng. Dept. Carnegie Mellon University University of Brasilia Princeton University Pittsburgh, PA 15213 Brasilia, DF, Brazil Princeton, NJ 08544 [email protected] [email protected] [email protected] Shreyansh Daftry Steven Huber William L. “Red” Whittaker Electronics and Communication Dept. Astrobotic Technology, Inc. Robotics Institute Manipal Institute of Technology Pittsburgh, PA 15213 Carnegie Mellon University Manipal, Karnataka, India [email protected] Pittsburgh, PA 15213 [email protected] [email protected] Abstract— d Caves on other planetary bodies offer sheltered habitat for future human explorers and numerous clues to a planet’s past for scientists. While recent orbital imagery pro- vides exciting new details about cave entrances on the Moon and Mars, the interiors of these caves are still unknown and not observable from orbit. Multi-robot teams offer unique solutions for exploration and modeling subsurface voids during precursor missions. Robot teams that are diverse in terms of size, mobility, sensing, and capability can provide great advantages, but this diversity, coupled with inherently distinct low-level behavior (a) Lunar skylight (b) Skylight in a funnel- architectures, makes coordination a challenge. This paper shaped pit on Mars presents a framework that consists of an autonomous frontier and capability-based task generator, a distributed market-based Figure 1. -
Microkernel Mechanisms for Improving the Trustworthiness of Commodity Hardware
Microkernel Mechanisms for Improving the Trustworthiness of Commodity Hardware Yanyan Shen Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy School of Computer Science and Engineering Faculty of Engineering March 2019 Thesis/Dissertation Sheet Surname/Family Name : Shen Given Name/s : Yanyan Abbreviation for degree as give in the University calendar : PhD Faculty : Faculty of Engineering School : School of Computer Science and Engineering Microkernel Mechanisms for Improving the Trustworthiness of Commodity Thesis Title : Hardware Abstract 350 words maximum: (PLEASE TYPE) The thesis presents microkernel-based software-implemented mechanisms for improving the trustworthiness of computer systems based on commercial off-the-shelf (COTS) hardware that can malfunction when the hardware is impacted by transient hardware faults. The hardware anomalies, if undetected, can cause data corruptions, system crashes, and security vulnerabilities, significantly undermining system dependability. Specifically, we adopt the single event upset (SEU) fault model and address transient CPU or memory faults. We take advantage of the functional correctness and isolation guarantee provided by the formally verified seL4 microkernel and hardware redundancy provided by multicore processors, design the redundant co-execution (RCoE) architecture that replicates a whole software system (including the microkernel) onto different CPU cores, and implement two variants, loosely-coupled redundant co-execution (LC-RCoE) and closely-coupled redundant co-execution (CC-RCoE), for the ARM and x86 architectures. RCoE treats each replica of the software system as a state machine and ensures that the replicas start from the same initial state, observe consistent inputs, perform equivalent state transitions, and thus produce consistent outputs during error-free executions. -
Book Tribute to George Low –“The Ultimate Engineer”
Book Tribute to George Low –“The Ultimate Engineer” The Ultimate Engineer: The Remarkable Life of NASA's Visionary Leader George M. Low by Richard Jurek Foreword by Gerald D. Griffin From the late 1950s to 1976 the U.S. manned spaceflight program advanced as it did largely due to the extraordinary efforts of Austrian immigrant George M. Low. Described as the "ultimate engineer" during his career at NASA, Low was a visionary architect and leader from the agency's inception in 1958 to his retirement in 1976. As chief of manned spaceflight at NASA, Low was instrumental in the Mercury, Gemini, and Apollo programs. Low's pioneering work paved the way for President Kennedy's decision to make a lunar landing NASA's primary goal in the 1960s. After the tragic 1967 Apollo I fire that took the lives of three astronauts and almost crippled the program, Low took charge of the redesign of the Apollo spacecraft, and helped lead the program from disaster and toward the moon. In 1968, Low made the bold decision to go for lunar orbit on Apollo 8 before the lunar module was ready for flight and after only one Earth orbit test flight of the Command and Service modules. Under Low there were five manned missions, including Apollo 11, the first manned lunar landing. Low's clandestine negotiations with the Soviet Union resulted in a historic joint mission in 1975 that was the precursor to the Shuttle-MIR and International Space Station programs. At the end of his NASA career, Low was one of the leading figures in the development of the Space Shuttle in the early1970s, and was instrumental in NASA's transition into a post-Apollo world. -
Comprehensive Bibliography of Machine Learning
COMPREHENSIVE BIBLIOGRAPHY OF MACHINE LEARNING Paul E. Utgoff Bernard Nudel Rutgers University This chapter consists of a bibliography of the field of machine learning. The sources of the references include bibliographies compiled by Saul Amarel, Dana Angluin, Ryszard S. Michalski, Tom M. Mitchell, Carl Smith, and Bruce G. Buchanan, as well as our own additions. We define fourteen categories to classify the machine learning literature. For each category, there is a list of reference numbers indicating which references belong within that category. In addition, to the left of each reference is a list of category code letters indicating the categories to which the reference belongs. CATEGORIES Category a. Analogy: Investigation of analogical reasoning in problem solving, and the use of analogy as a learning method. {92, 93, 94, 97, 100, 157,274,332,333,374,472,533,563,564, 565} Category b. Background material: General background reading in areas of artifi cial intelligence, cognitive science, and related disciplines that lay the framework for many of the machine learning methods. For overviews of work on machine learning in particular, see category o. {3, 4,5, 16,24,29,35,38,40,51,60,61,71,75,84,90, 107, Ill, 119, 129, 131, 132, 142, 148, 149, 153, 158, 160, 161, 166, 170, 171, 175, 176, 179, 180, 185, 205, 234, 237, 239, 252, 261, 270, 289, 292, 294, 320, 329, 330, 331, 334, 355, 358, 359, 362, 363, 369, 374, 391, 392, 393, 396, 397, 398, 400, 403, 413, 416, 429, 430, 441, 447, 448, 450, 463, 464, 467, 473, 486, 513, 523, 524, 525, 526, 544, 545, 546, 547, 559, 568} 512 COMPREHENSIVE BIBLIOGRAPHY OF MACHINE LEARNING Category c. -
Chapter 6.Qxd
CHAPTER 6: The NASA Family The melding of all of the NASA centers, contractors, universities, and often strong personalities associated with each of them into the productive and efficient organization necessary to complete NASA’s space missions became both more critical and more difficult as NASA turned its attention from Gemini to Apollo. The approach and style and, indeed, the personality of each NASA center differed sharply. The Manned Spacecraft Center was distinctive among all the rest. Fortune magazine suggested in 1967 that the scale of NASA’s operation required a whole new approach and style of management: “To master such massively complex and expensive problems, the agency has mobilized some 20,000 individual firms, more than 400,000 workers, and 200 colleges and universities in a combine of the most advanced resources of American civilization.” The author referred to some of the eight NASA centers and assorted field installations as “pockets of sovereignty” which exercised an enormous degree of independence and autonomy.1 An enduring part of the management problem throughout the Mercury and Gemini programs that became compounded under Apollo, because of its greater technical challenges, was the diversity and distinctiveness of each of the NASA centers. The diverse cultures and capabilities represented by each of the centers were at once the space program’s greatest resource and its Achilles’ heel. NASA was a hybrid organization. At its heart was Langley Memorial Aeronautical Laboratory established by Congress in 1917 near Hampton, Virginia, and formally dedicated in 1920. It became the Langley Research Center. Langley created the Ames Aeronautical Laboratory at Moffett Field, California, in 1939. -
Educating the Whole Person? the Case of Athens College, 1940-1990
Educating the whole person? The case of Athens College, 1940-1990 Polyanthi Giannakopoulou-Tsigkou Institute of Education, University of London A thesis submitted for the Degree of EdD September 2012 Abstract This thesis is a historical study of the growth and development of Athens College, a primary/secondary educational institution in Greece, during the period 1940-1990. Athens College, a private, non-profit institution, was founded in 1925 as a boys' school aiming to offer education for the whole person. The research explores critically the ways in which historical, political, socio-economic and cultural factors affected the evolution of Athens College during the period 1940-1990 and its impact on students' further studies and careers. This case study seeks to unfold aspects of education in a Greek school, and reach a better understanding of education and factors that affect it and interact with it. A mixed methods approach is used: document analysis, interviews with Athens College alumni and former teachers, analysis of student records providing data related to students' achievements, their family socio-economic 'origins' and their post-Athens College 'destinations'. The study focuses in particular on the learners at the School, and the kinds of learning that took place within this institution over half a century. Athens College, although under the control of a centralised educational system, has resisted the weaknesses of Greek schooling. Seeking to establish educational ideals associated with education of the whole person, excellence, meritocracy and equality of opportunity and embracing progressive curricula and pedagogies, it has been successful in taking its students towards university studies and careers. -
Getting Started Computing at the Al Lab by Christopher C. Stacy Abstract
MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLI..IGENCE LABORATORY WORKING PAPER 235 7 September 1982 Getting Started Computing at the Al Lab by Christopher C. Stacy Abstract This document describes the computing facilities at the M.I.T. Artificial Intelligence Laboratory, and explains how to get started using them. It is intended as an orientation document for newcomers to the lab, and will be updated by the author from time to time. A.I. Laboratory Working Papers are produced for internal circulation. and may contain information that is, for example, too preliminary or too detailed for formal publication. It is not intended that they should be considered papers to which reference can be made in the literature. a MASACHUSETS INSTITUTE OF TECHNOLOGY 1982 Getting Started Table of Contents Page i Table of Contents 1. Introduction 1 1.1. Lisp Machines 2 1.2. Timesharing 3 1.3. Other Computers 3 1.3.1. Field Engineering 3 1.3.2. Vision and Robotics 3 1.3.3. Music 4 1,3.4. Altos 4 1.4. Output Peripherals 4 1.5. Other Machines 5 1.6. Terminals 5 2. Networks 7 2.1. The ARPAnet 7 2.2. The Chaosnet 7 2.3. Services 8 2.3.1. TELNET/SUPDUP 8 2.3.2. FTP 8 2.4. Mail 9 2.4.1. Processing Mail 9 2.4.2. Ettiquette 9 2.5. Mailing Lists 10 2.5.1. BBoards 11 2.6. Finger/Inquire 11 2.7. TIPs and TACs 12 2.7.1. ARPAnet TAC 12 2.7.2. Chaosnet TIP 13 3. -
How Should the United States Confront Soviet Communist Expansionism? DWIGHT D
Advise the President: DWIGHT D. EISENHOWER How Should the United States Confront Soviet Communist Expansionism? DWIGHT D. EISENHOWER Advise the President: DWIGHT D. EISENHOWER Place: The Oval Office, the White House Time: May 1953 The President is in the early months of his first term and he recognizes Soviet military aggression and the How Should the subsequent spread of Communism as the greatest threat to the security of the nation. However, the current costs United States of fighting Communism are skyrocketing, presenting a Confront Soviet significant threat to the nation’s economic well-being. President Eisenhower is concerned that the costs are not Communist sustainable over the long term but he believes that the spread of Communism must be stopped. Expansionism? On May 8, 1953, President Dwight D. Eisenhower has called a meeting in the Solarium of the White House with Secretary of State John Foster Dulles and Treasury Secretary George M. Humphrey. The President believes that the best way to craft a national policy in a democracy is to bring people together to assess the options. In this meeting the President makes a proposal based on his personal decision-making process—one that is grounded in exhaustive fact gathering, an open airing of the full range of viewpoints, and his faith in the clarifying qualities of energetic debate. Why not, he suggests, bring together teams of “bright young fellows,” charged with the mission to fully vet all viable policy alternatives? He envisions a culminating presentation in which each team will vigorously advocate for a particular option before the National Security Council. -
Digital Communication Systems 2.2 Optimal Source Coding
Digital Communication Systems EES 452 Asst. Prof. Dr. Prapun Suksompong [email protected] 2. Source Coding 2.2 Optimal Source Coding: Huffman Coding: Origin, Recipe, MATLAB Implementation 1 Examples of Prefix Codes Nonsingular Fixed-Length Code Shannon–Fano code Huffman Code 2 Prof. Robert Fano (1917-2016) Shannon Award (1976 ) Shannon–Fano Code Proposed in Shannon’s “A Mathematical Theory of Communication” in 1948 The method was attributed to Fano, who later published it as a technical report. Fano, R.M. (1949). “The transmission of information”. Technical Report No. 65. Cambridge (Mass.), USA: Research Laboratory of Electronics at MIT. Should not be confused with Shannon coding, the coding method used to prove Shannon's noiseless coding theorem, or with Shannon–Fano–Elias coding (also known as Elias coding), the precursor to arithmetic coding. 3 Claude E. Shannon Award Claude E. Shannon (1972) Elwyn R. Berlekamp (1993) Sergio Verdu (2007) David S. Slepian (1974) Aaron D. Wyner (1994) Robert M. Gray (2008) Robert M. Fano (1976) G. David Forney, Jr. (1995) Jorma Rissanen (2009) Peter Elias (1977) Imre Csiszár (1996) Te Sun Han (2010) Mark S. Pinsker (1978) Jacob Ziv (1997) Shlomo Shamai (Shitz) (2011) Jacob Wolfowitz (1979) Neil J. A. Sloane (1998) Abbas El Gamal (2012) W. Wesley Peterson (1981) Tadao Kasami (1999) Katalin Marton (2013) Irving S. Reed (1982) Thomas Kailath (2000) János Körner (2014) Robert G. Gallager (1983) Jack KeilWolf (2001) Arthur Robert Calderbank (2015) Solomon W. Golomb (1985) Toby Berger (2002) Alexander S. Holevo (2016) William L. Root (1986) Lloyd R. Welch (2003) David Tse (2017) James L.